Tutorials/Post - ICT, GIS, Remote Sensing, Earth System, Humanitarian, Disaster Management, Travel

Category: geomatics Page 2 of 10

Ditch Snappy to use Graph Processor Tool (GPT) to process your Sentinel-1 Data

Last week, I was doing some testing using the Python API interface for sentinel-1 toolbox with Snappy and the SNAP desktop to see the time taken by each of them. The workflow for processing the data is described here. The results were astonishing. Each and every steps were significantly slower, especially the co-registration process … CONTINUE READING

Land cover Mapping in Data Scarce Environments: Challenges and Opportunities. Another paper on Land Cover

Land cover maps are a critical component to make informed policy, development, planning, and resource management decisions. However, technical, capacity and institutional challenges inhibit the creation of consistent and relevant land cover maps for use in developing regions. Many developing regions lack coordinated capacity, infrastructure, and technologies to produce a robust land cover monitoring system … CONTINUE READING

Downloading 12.5 m ALOS PALSAR High-Resolution DEM

NASA’s Earth Observing System Data and Information System (EOSDIS) is the data distribution system facilitated with NASA’s Distributed Active Archive Centers (DAACs). Alaska Satellite Facility (ASF) is one of the DAAC providing various data sources to the public for free. We will use the ASF website (as of 28th October 2019) to download the 12.5 … CONTINUE READING

Creating Mosaic of Sentinel-1 using Snappy

In this tutorial, we are going to perform the mosaicing of two adjacent Sentinel-1 scenes using Snappy, the Python interface for SNAP.
world-veiew-of-sentinel-scene
If you haven’t, follow along this tutorial to see how you can setup the development environment for SNAP in your machine. To overview, the basic steps that we cover in this tutorial are:… CONTINUE READING

River-Channel

Earth from Space

Processed and exported from Google Earth Engine.

 … CONTINUE READING

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